Machine Learning Engineer

Alignerr Corp.; France; Remote; EUR 61,000 - 86,000; Full time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. is seeking a Machine Learning Engineer - AI Data Trainer to help build and log how an AI reasons and executes actions, enabling consistent problem solving in real environments.

The role focuses on drafting precise logs, recording sequential strategizing, and generating training datasets that illustrate proficient tool interaction for AI models, with remote, hourly commitment.

Qualifications

• ML/engineering expertise in a technical field.
• Ability to clearly explain complex reasoning steps.
• Strong critical thinking to audit AI reasoning.
• Master's degree or PhD required.

Responsibilities

• Draft precise logs of technical challenges.
• Record sequential strategies and decision workflows.
• Create training datasets showing tool interactions for AI models.

Skills

Machine Learning

Engineering

Clear communication

Critical thinking

Data annotation

Education

Master's Degree or PhD

Tools

Data annotation tools

Job description

Location: Remote

Machine Learning Engineer - AI Data Trainer

• Organization: Alignerr
• Position: Machine Learning Engineer - AI Data Trainer
• Type: Hourly Contract
• Compensation: $50–$70 /hour
• Location: Remote
• Commitment: 10–40 hours/week

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments.

What You’ll Do

• Draft precise, organized logical logs for sophisticated technical challenges.
• Record sequential strategizing and choice-making workflows.
• Generate training datasets that illustrate proficient tool interaction for AI models.

Requirements

• Professional expertise in Machine Learning, Engineering, or a technical discipline.
• Superb skill in explaining intricate logical processes and methodologies clearly.
• Critical thinking skills to audit and refine AI-generated reasoning steps.
• Master's Degree or PhD

Preferred

• Prior experience with data annotation, data quality, or evaluation systems.
• Master's Degree or PhD

Why Join Us

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting-edge AI projects.
• Exposure to advanced LLMs and how they’re trained.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.